Abstract:
Currently, computer vision object detection technology is rapidly developing in multiple fields. However, under limited memory
conditions, computer vision object detection technology still faces problems such as difficulty in deploying a large number of
models, long training cycles, poor real-time detection, difficulty in accurately locating prominent objects, and blurred boundaries.
The biomimetic intelligence optimization algorithm is a goal-optimal algorithm that simulates the survival and development patterns
of organisms in nature and can efficiently solve complex optimization problems. Using biomimetic intelligent optimization
algorithms to solve complex object detection problems is a promising method. This article focused on the theory and methods of
applying ABC optimization algorithms to image processing and proposed a new approach to object detection in computer vision.
The experimental results showed that the ABC optimization algorithm had high convergence accuracy and short calculation time.
Moreover, in motion shadow detection, the shadow detection rate and shadow resolution reached 96.9% and 97.3%, respectively.
It can be seen that the bionic optimization algorithm has fast convergence speed and high search performance in computer vision
target detection systems, and the algorithm in this paper shows stable and good effects in moving shadow detection. These results
and findings provide useful reference and guidance for object detection research in the field of computer vision.
Download here :
https://ieeexplore.ieee.org/document/10402252
Citation:
Z. Jiang and C. Zhou, “Application of Biomimetic Optimization Algorithm in Computer Vision Object Detection System,” 2023 IEEE 15th
International Conference on Computational Intelligence and Communication Networks (CICN), Bangkok, Thailand, 2023, pp. 507-512, doi:
10.1109/CICN59264.2023.10402252.
keywords: {Computer vision;Image segmentation;Biomimetics;Motion segmentation;Object detection;Optimization;Convergence;computer
vision;target detection;biomimetic optimization algorithm;artificial bee colony optimization algorithm},
